Language
Language
Start date
May 2023
Duration
10 Weeks
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What is this course about?
The objective of this course is to introduce object-oriented programming (OOP) concepts, as well as enabling the learner to work with intermediate complexity programming tasks like working with larger programs, handling errors and working with input and output systems in depth.
What is this course about?
The objective of this course is to introduce object-oriented programming (OOP) concepts, as well as enabling the learner to work with intermediate complexity programming tasks like working with larger programs, handling errors and working with input and output systems in depth.
Learning Outcomes:
The learner on completion of this course will be able to:- Develop solutions using OOP concepts
- Develop and understand Python code being used from modules and packages.
- Develop robust code with exception handling.
- Develop code that can handle the input-output system.
- Develop solutions using OOP concepts
- Develop and understand Python code being used from modules and packages
- Develop robust code with exception handling
- Develop code that can handle the input-output system
Become an Python Programming
Expert in just 8 weeks
Become an Python Programming
Expert in just 8 weeks
Course Curriculum
Here is what's included in this advanced python programming language Course
Working with Modules and packages
Exception handling
String manipulations(ASCII, UNICODE, UTF-8, codepoints, escape sequences), Converting string with methods, Iterating through strings, concatenation, multiplying, comparing, Working with various methods/function over strings.
OOP (class, object, property, method, encapsulation, inheritance, super and sub classes, Instance vs class variables, __dict__ property,
name mangling, method declaring, method with self, __name__, __module__, __bases__ properties, single, multiple inheritance, overriding, constructor (declaring and invoking).
Polymorphism, __name__, __module__, __str__() method, multiple interitance
List comprehension: if operator, using list comprehensions, lambdas: defining and using lambdas, self-defined func tions taking lambda as as arguments; map(), filter().
Closures(meaning, defining, and using closures), I/O Operations: I/O modes, predefined streams, handles, text/binary modes, open(), errno and its values, close(), .read(), .write(), .readline(); readlines() and its variants.
Python Iterators, Generators & Generators Expression
Final Project : Using Python Libraries & Database Handling (MySQL Operations and MongoDB)
Course Curriculum
Here is what's included in this advanced python programming language Course
Working with Modules and packages
Exception handling
String manipulations(ASCII, UNICODE, UTF-8, codepoints, escape sequences), Converting string with methods, Iterating through strings, concatenation, multiplying, comparing, Working with various methods/function over strings.
OOP (class, object, property, method, encapsulation, inheritance, super and sub classes, Instance vs class variables, __dict__ property,
name mangling, method declaring, method with self, __name__, __module__, __bases__ properties, single, multiple inheritance, overriding, constructor (declaring and invoking).
Polymorphism, __name__, __module__, __str__() method, multiple interitance
List comprehension: if operator, using list comprehensions, lambdas: defining and using lambdas, self-defined func tions taking lambda as as arguments; map(), filter().
Python Iterators, Generators & Generators Expression
Final Project : Using Python Libraries & Database Handling (MySQL Operations and MongoDB)
Entry Requirements
There are no formal requirements for this certification, however it is recommended that you should start with our Python for Beginners course for better understanding.
Meet Our Trainers
Our experienced python programming language expert are here to help you understand the concepts of advanced programming language and to apply them practically for your successful career
Programming languages and tools
Benefits of the course
Learn the second-highest paid computer language (according to Indeed)
Enter the pathway to a career in data sciences
Bullet-proof your career and your job prospects with versatile career paths
